Improving spherical k-means for document clustering: Fast initialization, sparse centroid projection, and efficient cluster labeling.
Hyunjoong KimHan Kyul KimSungzoon ChoPublished in: Expert Syst. Appl. (2020)
Keyphrases
- k means
- document clustering
- clustering algorithm
- clustering method
- data clustering
- text clustering
- cluster analysis
- text mining
- clustering quality
- vector space model
- cluster centers
- hierarchical clustering
- document representation
- document clusters
- spectral clustering
- databases
- bisecting k means
- topic extraction
- text documents
- document collections
- high dimensional
- knowledge base
- sparse representation
- expectation maximization
- clustering approaches
- artificial intelligence
- ant based clustering
- tolerance rough set
- data mining